Faculty Publications
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Publications by NITK Faculty
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Item Currency recognition system using image processing(Institute of Electrical and Electronics Engineers Inc., 2017) Abburu, V.; Gupta, S.; Rimitha, S.R.; Mulimani, M.; Koolagudi, S.G.In this paper, we propose a system for automated currency recognition using image processing techniques. The proposed method can be used for recognizing both the country or origin as well as the denomination or value of a given banknote. Only paper currencies have been considered. This method works by first identifying the country of origin using certain predefined areas of interest, and then extracting the denomination value using characteristics such as size, color, or text on the note, depending on how much the notes within the same country differ. We have considered 20 of the most traded currencies, as well as their denominations. Our system is able to accurately and quickly identify test notes. © 2017 IEEE.Item Measuring the influence of moods on stock market using Twitter analysis(Springer Verlag service@springer.de, 2019) Cowlessur, S.K.; Annappa, B.; Sree, B.K.; Gupta, S.; Velaga, C.It is a well-known fact that sentiments play a vital role and is an incredibly influential tool in several aspects of human life. Sentiments also drive proactive business solutions. Studies have shown that the more appropriate data is gathered and analyzed at the right time, the higher the success of sentiment analysis. This paper analyses the correlation between the public mood and the variation in stock prices towards companies in different domains. For each tweet, scores are assigned to eight predefined moods namely “Joy†, “Sadness†, “Fear†, “Anger†, “Trust†, “Disgust†, “Surprise†and “Anticipation†. A regression model is applied to the mood scores and the stock prices dataset to obtain the R-squared score, which is a metric used to evaluate the model. The paper aims to find the moods that best reflect the stock values of the respective companies. From the results, it is observed that there is a definite correlation between public mood and stock market. © Springer Nature Singapore Pte Ltd. 2019.Item Design and evaluation of COBALT queue discipline(IEEE Computer Society help@computer.org, 2019) Palmei, J.; Gupta, S.; Imputato, P.; Morton, J.; Tahiliani, M.P.; Avallone, S.; Täht, D.The problem of bufferbloat arises due to the presence of large unmanaged buffers and leads to high queuing delays and significant degradation in the performance of time-sensitive and interactive Internet applications. Recently, a new smart queue management system called Common Applications Kept Enhanced (CAKE) has been introduced in Linux 4.19 to tackle the problem of bufferbloat in home Internet gateways. One of the integral parts of CAKE system is COBALT (CoDel and BLUE Alternate), a queue discipline which is a combination of Controlled Delay (CoDel) and BLUE algorithms. Although CAKE is a part of the Linux kernel, a detailed discussion on the design of COBALT is missing. In this paper, we discuss the design of COBALT and compare its performance with CoDel. Additionally, we propose a simulation model for COBALT in ns-3 and test its correctness by comparing the results obtained from it to those obtained from the Linux model. Our evaluation shows that COBALT offers substantial benefits in terms of curtailing queue delays when unresponsive flows exist. © 2019 IEEE.Item Quantum Machine Learning: A Review and Current Status(Springer Science and Business Media Deutschland GmbH, 2021) Mishra, N.; Kapil, M.; Rakesh, H.; Anand, A.; Mishra, N.; Warke, A.; Sarkar, S.; Dutta, S.; Gupta, S.; Prasad Dash, A.; Gharat, R.; Chatterjee, Y.; Roy, S.; Raj, S.; Kumar Jain, V.; Bagaria, S.; Chaudhary, S.; Singh, V.; Maji, R.; Dalei, P.; Behera, B.K.; Mukhopadhyay, S.; Panigrahi, P.K.Quantum machine learning is at the intersection of two of the most sought after research areas—quantum computing and classical machine learning. Quantum machine learning investigates how results from the quantum world can be used to solve problems from machine learning. The amount of data needed to reliably train a classical computation model is evergrowing and reaching the limits which normal computing devices can handle. In such a scenario, quantum computation can aid in continuing training with huge data. Quantum machine learning looks to devise learning algorithms faster than their classical counterparts. Classical machine learning is about trying to find patterns in data and using those patterns to predict further events. Quantum systems, on the other hand, produce atypical patterns which are not producible by classical systems, thereby postulating that quantum computers may overtake classical computers on machine learning tasks. Here, we review the previous literature on quantum machine learning and provide the current status of it. © 2021, Springer Nature Singapore Pte Ltd.Item A Shadow Based Low-Cost Hand Movement Recognition System for Human Computer Interaction(Institute of Electrical and Electronics Engineers Inc., 2021) Geetha, V.; Salvi, S.; Sahoo, P.; Dodiya, M.; Gupta, S.TIn this paper, we propose and implement a real-time hand motion detection system which uses shadows projected by hand and detected by low cost Light Dependent Resistor (LDR). The main advantage of the shadow approach is real-time recognition and its application in Post COVID 19 world where contactless interactions are required. Our proposed approach uses 2D hand motion shadows to determine sequence of light blocking the LDRs and thus making the system less complex and less compute intensive compared to 3D image recognition based systems. The accuracy of the proposed system is tested under various lighting conditions and 82-95\% accuracy is observed under normal lighting conditions. © 2021 IEEE.Item Performance Analysis and Loss Estimation of an AC-DC PFC Topologies of an EV Charger(Institute of Electrical and Electronics Engineers Inc., 2023) Gupta, S.; Vignesh Kumar, V.V.The front-end AC-DC power factor correction (PFC) converter of an electric vehicle (EV) charger is essential to achieve the grid side power factor close to unity and maintain the input current total harmonic distortion (THD) within permissible limits. The other desirable attributes are high power density, high efficiency, and simple structure. However, several articles have discussed the different PFC topologies to achieve these qualities with the difference in the number of switching devices employed and conduction modes. So, this paper aims to present the design and performance comparison of four common PFC topologies. Further, the loss analysis using the datasheet parameters of switching devices and operational modes of the PFC converters have been discussed. The converters, namely, active boost PFC, interleaved-boost PFC, dual boost PFC and totem-pole PFC, have been designed for CCM operation with the output power/voltage of 3. 3kW/400V. Moreover, these topologies are simulated in MATLAB/ Simulink, and their performances in terms of the amount of THD in input current, output voltage regulation, and switching losses have been obtained. The analysis shows that the bridgeless totem-pole PFC converter shows superior performance among all four topologies taken for study due to a low number of switching devices in the current conduction path and reduced switching losses. © 2023 IEEE.Item Biorenewable chemicals: Feedstocks, technologies and the conflict with food production(Elsevier Ltd, 2015) Bardhan, S.K.; Gupta, S.; Gorman, M.E.; Haider, M.A.Volatile petroleum product prices along with depleting resources of oil and increasing environmental concerns had prompted several government agencies to promote and subsidize the production of biofuels from edible crops. The alarming rate at which edible crops were being deviated to produce biofuels caused the price of food crops like corn to shoot by a margin of over 100% in the initial three years (2005-2007). The twenty-first century has so far witnessed an enormous growth in production of biorenewable chemicals. The economically more lucrative business of biorenewable chemicals is currently projected to grow at a compounded annual growth rate of 22.4% and account for 45% of the chemicals produced in the US by 2025. This calls for a thoughtful regulation of the parameters, which should be considered for the production of biorenewable chemicals, in order to avoid any direct conflict with food production. This study addresses the possible edible and non-edible feedstock sources, conversion technologies used, conflict with food production accessed in terms of market scenario, environmental concerns and availability of land area for the effective conversion of the individual generation of feedstocks to biorenewable chemicals. © 2015 Elsevier Ltd. All rights reserved.Item Simulation modeling and analysis of a complex system of a thermal power plant(Universitat Politecnica de Catalunya editor@jiem.org, 2009) Gupta, S.; Tewari, P.C.The present paper deals with the opportunities for the modeling of flue gas and air system of a thermal power plant by making the performance evaluation using probabilistic approach. The present system of thermal plant under study consists of four subsystems with three possible states: full working, reduced capacity working and failed. Failure and repair rates for all the subsystems are assumed to be constant. Formulation of the problem is carried out using Markov Birth-Death process using probabilistic approach and a transition diagram represents the operational behavior of the system. Interrelationship among the full working and reduced working states has been developed. A probabilistic model has been developed, considering some assumptions. Data in feasible range are selected from a survey of thermal plant and the effect of each subsystem on the system availability is tabulated in the form of availability matrices, which provides various performance/availability levels for different combinations of failure and repair rates of all subsystems. Based upon various availability values obtained in availability matrices and graphs of failure/repair rates of different subsystems, performance and optimum values of failure/repair rates for maximum availability, of each subsystem is analyzed and then maintenance priorities are decided for all subsystems. © JIEM, 2009.Item Resistance distance in wheels and fans(2010) Bapat, R.B.; Gupta, S.The wheel graph is the join of a single vertex and a cycle, while the fan graph is the join of a single vertex and a path. The resistance distance between any two vertices of a wheel and a fan is obtained. The resistances are related to Fibonacci numbers and generalized Fibonacci numbers. The derivation is based on evaluating determinants of submatrices of the Laplacian matrix. A combinatorial argument is also illustrated. A connection with the problem of squaring a rectangle is described. © Indian National Science Academy.Item A two identical unit standby system with inspection, two types of repair and delayed replacement of standby(DAV College rkishan05@rediffmail.com 606-10 D.A.V (P.G) College Flats, Muzzaffarnagar 251-001, 2019) Gupta, S.; Chaudhary, P.; VaishaliThe paper deals with reliability and profit function analysis of a two identical unit standby system model with two modes- Normal and Total failure of each unit. Initially one unit is operative and the other is kept into cold standby. Upon failure of the operative unit the standby unit takes a random time to replace the operative unit. The time is called the delay time for replacement of the operative unit. Inspection is required to detect the type of failure after which the type of repair (either Type-1 or Type-2) is made. Whenever, the operative unit fails, a repairman is called to come at the system for the replacement of failed operative unit with standby and he takes some significant time to reach at the system. Failure time distribution is taken as exponential. The repair and inspection time distributions are also taken as exponential. Whereas the arrival and replacement time distribution are taken as general. By using supplementary variable technique, the various important measures of system effectiveness have been obtained. © 2019 DAV College. All rights reserved.